Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 54 Minute(s)
Language
English
Taught by
SeaportAi .
Rating
3 views
Course Overview
Comprehensive Course Covering Machine Learning, Deep Learning, Explainable AI and AutoML
Course Description
Stay ahead in the world of AI - ML with this completely updated course covering
. Machine Learning
. Deep Learning
. Large Language Models (LLMs)
. Retrieval-Augmented Generation (RAG)
. AI Agents
. Explainable AI (XAI)
. AutoML using Google Vertex AI
This is a hands-on course, designed for active learning. You are encouraged to practice along with the trainer during sessions or immediately after each lecture to build real, practical skills.
The content is organized into 21 manageable days, allowing you to learn systematically without feeling overwhelmed. Whether you're a beginner or an experienced professional, you can start from the basics or jump straight to the advanced sections that interest you most.
The course is taught by an industry veteran and founder of an AI startup, bringing real-world insights and project-based learning to every module.
Running successfully for the past three years, the course has been regularly refreshed to reflect the latest advancements — including cutting-edge topics like Explainable AI, AutoML on Google Vertex, RAG pipelines, and AI Agent frameworks.
If you’re looking for a complete, modern, and industry-focused AI learning experience — this is your perfect starting point.
Enroll today and build the AI expertise the future demands!
What you’ll learn:
Build a strong foundation in Machine Learning and Deep Learning concepts
Understand and fine-tune Large Language Models (LLMs) for various applications
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Explore and create AI Agents
Apply Explainable AI (XAI) techniques to build trust in model predictions
Use AutoML with Google Vertex AI to automate and accelerate model building
Develop hands-on projects with real-world datasets across ML, DL, and LLM use cases
Stay updated with the latest AI trends and future directions
Course Content
- 10 section(s)
- 81 lecture(s)
- Section 1 Introduction
- Section 2 Day 1: What gets measured gets improved
- Section 3 Day 2: Python Refresher | Python for Linear Algebra
- Section 4 Day 3: First ML Algorithm
- Section 5 Day 4: Test Vs Train in Machine Learning
- Section 6 Day 5: Multiple Linear Regression
- Section 7 Day 6: Logistic Regression, Gradient Descent
- Section 8 Day 7: Decision Tree, PCA & Unsupervised Algorithms
- Section 9 Day 8: Tensor Intro
- Section 10 Day 9: Understanding Deep Learning
What You’ll Learn
- You will learn the core concepts in Machine learning and Deep Learning
- How to code and access data stored in a cloud environment
- You will learn the core algorithms in ML: Linear Regression, Logistic Regression, Decision Tree, Random Forest
- You will also learn about unsupervised learning
- What is Explainer AI and why its important
- You will master deep learning concepts and algorithms
- What is a tensor and how it is helpful in deep learning
- What are the linear algebra concepts relevant to Machine Learning and Deep Learning
- How to go about a ML project
- Python programming (for those who don't know python)
- What is AutoML and how to use Vertex AI to deploy Machine learning algorithms
- Unsupervised deep learning algorithms
Skills covered in this course
Reviews
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OOdafe Arugba
It is nice and interesting. Easy to understand
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DDhiraj Deshmukh
Yes ,It was amazing course and teaching and thank you sir for your brilliant teaching in less time
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RRahul Gangopadhyay
I recently completed this course and it's a game-changer for beginners like me. The instructor's clear explanations and hands-on examples made complex concepts easy to grasp. The course structure is well-paced, and the engaging teaching style kept me hooked. The practical exercises and supportive community are icing on the cake. Highly recommend for anyone starting their AI and ML journey!
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JJavier Andres Ferro Perez
The course is very basic, vertex is just 10% of the course, i expect very deeply course, but it is for beginners
